Results 241 to 250 of about 5,581 (264)

ET-SSM: Linear-Time Encrypted Traffic Classification Method Based On Structured State Space Model

2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Yanjun Li, Xiangyu Zhao, Zhengpeng Zha, Zhenhua Ling   +3 more
exaly   +2 more sources

SSM-GMA: Global Motion Aggregation with State Space Models for Efficient Optical FlowEstimation

Accurate optical flow in occluded regions relies heavily on long range motion aggregation, yetthe prevailing attention based GMA module suffers from quadratic complexity and heavy memory footprints, limiting their deployment on resource-constrained edge devices.
An Feng, Wenyin Tao
openaire   +1 more source

KMSC-SSM: a novel self-supervised rotating machinery fault detection method based on multi-scale convolution and bidirectional state space model

Measurement Science and Technology
Abstract Rotating machinery plays a critical role in industrial systems, making timely fault detection essential for operational safety and economic efficiency. Traditional methods relying on manual feature extraction and expert knowledge are often insufficient for handling complex and variable fault conditions. While supervised and semi-
Eryuan Guo, Qi Zuo
exaly   +2 more sources

State Space Model of Aggregated Electric Vehicles for Frequency Regulation

IEEE Transactions on Smart Grid, 2020
Mingshen Wang, Yunfei Mu, Fangxing Li
exaly  

A unified state space model for aggregation and coordination of large-scale TCLs and EVs for frequency regulation

Electric Power Systems Research, 2021
Sina Kiani, Keyhan Sheshyekani, Hanane Dagdougui   +2 more
exaly  

A Nonlinear Switched State-Space Model for Capacitive RF DACs

IEEE Transactions on Circuits and Systems I: Regular Papers, 2017
Stefan Trampitsch, Jonas Fritzin, Harald Pretl   +2 more
exaly  

State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model

IEEE Transactions on Instrumentation and Measurement, 2015
Jianbo Yu
exaly  

Flow-Selectivity SSM: A Generative State-Space Model with History-Aware GFlowNet Policies

2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Nadhir Hassen, Johan Verjans
openaire   +1 more source

Characterizing State Space Model (SSM) and SSM-Transformer Hybrid Language Model Performance with Long Context Length.

CoRR
Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon   +4 more
openaire   +1 more source

Accounting for heterogeneity in traffic crash prediction: exploring the usage of a dynamic state-space approach

Transportmetrica A: Transport Science, 2019
Chunjiao Dong, Kun Xie
exaly